{"total":18,"rows":[{"id":"2110.05866","title":"MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech","created":"2021-10-12","cited_by_count":18,"area":null},{"id":"2307.05527","title":"The Ethical Implications of Generative Audio Models: A Systematic Literature Review","created":"2023-07-07","cited_by_count":18,"area":null},{"id":"2406.03460","title":"The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement","created":"2024-06-05","cited_by_count":12,"area":null},{"id":"2410.05301","title":"Diffusion-based Unsupervised Audio-visual Speech Enhancement","created":"2024-10-04","cited_by_count":8,"area":null},{"id":"2504.07402","title":"LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models","created":"2025-04-10","cited_by_count":5,"area":null},{"id":"2212.00369","title":"Deep neural network techniques for monaural speech enhancement: state of the art analysis","created":"2022-12-01","cited_by_count":3,"area":null},{"id":"2204.07075","title":"Learning and controlling the source-filter representation of speech with a variational autoencoder","created":"2022-04-14","cited_by_count":2,"area":null},{"id":"2211.00988","title":"Audio-visual speech enhancement with a deep Kalman filter generative model","created":"2022-11-02","cited_by_count":2,"area":null},{"id":"2210.15368","title":"A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech","created":"2022-10-27","cited_by_count":1,"area":null},{"id":"2303.09404","title":"Speech Modeling with a Hierarchical Transformer Dynamical VAE","created":"2023-03-07","cited_by_count":1,"area":null},{"id":"2306.07820","title":"Unsupervised speech enhancement with deep dynamical generative speech and noise models","created":"2023-06-13","cited_by_count":1,"area":null},{"id":"2312.04167","title":"Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation","created":"2023-12-07","cited_by_count":1,"area":null},{"id":"2211.00990","title":"A weighted-variance variational autoencoder model for speech enhancement","created":"2022-11-02","cited_by_count":0,"area":null},{"id":"2305.08744","title":"Integrating Uncertainty into Neural Network-based Speech Enhancement","created":"2023-05-15","cited_by_count":0,"area":null},{"id":"2309.10439","title":"Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder","created":"2023-09-19","cited_by_count":0,"area":null},{"id":"2402.01413","title":"Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge","created":"2024-02-02","cited_by_count":0,"area":null},{"id":"2502.07205","title":"VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR Identification","created":"2025-02-11","cited_by_count":0,"area":null},{"id":"2509.25660","title":"Capacity-Net-Based RIS Precoding Design without Channel Estimation for mmWave MIMO System","created":"2025-09-30","cited_by_count":0,"area":null}],"next_cursor":null}